We launched an early beta of support for iOS error tracking a few months back and got a lot of good feedback from users. Since then we’ve invested a lot of time in making the clients better and are happy to announce that the clients are now stable and available.

Supported Platforms

Sentry clients support iOS, tvOS1, macOS and watchOS1. We refer to those platforms with the Cocoa error monitoring moniker on Sentry, with support for both Swift error tracking and Objective-C error tracking.

If you want to use Sentry for any of those platforms we recommend the updated sentry-swift client which is the best supported of our Cocoa clients.

Setup

We recommend installing the client via CocoaPods, which is as simple as dropping this line into your Podfile :

Afterwards a simple pod install will get everything up and running for you.

You can find several examples for how to correctly set up the SentryClient in our official GitHub repository. As always, Sentry is all about open source so if you want to improve the client in any way, feel free to join the development.

Features

With our first stable release of sentry-swift we also support the User Feedback feature in iOS, a feature you may already use in our JavaScript client. If your app crashes while User Feedback is activated, users will receive a prompt to optionally provide additional information that will be automatically linked to the corresponding crash in Sentry.

Another new thing we landed is that we now support stacktraces for multiple threads. You can switch between them in the UI to go to others. This is particularly useful if you expect a background thread to be responsible for a particular crash due to a data race.

Sentry provides open source error tracking that shows you every crash in your stack as it happens, with the details needed to prioritize, identify, reproduce, and fix each issue. It also gives you information your support team can use to reach out to and help those affected and tools that let users send you feedback for peace of mind.

Each month we process billions of exceptions from the most popular products on the internet.